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docs: update README with FLUX.1 ControlNet training details and improve argument help text

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2024-12-02 23:38:54 +09:00
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@@ -14,7 +14,15 @@ The command to install PyTorch is as follows:
### Recent Updates
1 Dec, 2024:
Dec 2, 2024:
- FLUX.1 ControlNet training is supported. PR [#1813](https://github.com/kohya-ss/sd-scripts/pull/1813). Thanks to minux302! See PR and [here](#flux1-controlnet-training) for details.
- Not fully tested. Feedback is welcome.
- 80GB VRAM is required for 1024x1024 resolution, and 48GB VRAM is required for 512x512 resolution.
- Currently, it only works in Linux environment (or Windows WSL2) because DeepSpeed is required.
- Multi-GPU training is not tested.
Dec 1, 2024:
- Pseudo Huber loss is now available for FLUX.1 and SD3.5 training. See PR [#1808](https://github.com/kohya-ss/sd-scripts/pull/1808) for details. Thanks to recris!
- Specify `--loss_type huber` or `--loss_type smooth_l1` to use it. `--huber_c` and `--huber_scale` are also available.